Top Software Engineer Jobs in Washington DC,

Develop and enhance Salesforce and related technology systems by analyzing business requirements, designing solutions, automating processes, and supporting implementation and maintenance. The role collaborates with internal teams, manages technical projects and vendors, supports integrations and databases, troubleshoots systems, prepares documentation, and translates technical information for nontechnical stakeholders. It is remote with occasional travel and may require work outside normal hours.

Deploys, integrates, hardens, and operates modular C-UAS data and software platforms in secure DoD environments. Builds data pipelines across classification boundaries and disconnected conditions, integrates mission systems, manages Kubernetes-based infrastructure, supports accreditation, and handles observability, incident response, upgrades, and backup recovery. The role also documents solutions, trains mission teams, represents field needs to engineering, and mentors junior forward-deployed data engineers. Most work is remote with occasional travel to restricted environments and SCIFs.

Deploys Camunda ProcessOS workflows for enterprise customers, builds custom AI agents and legacy-system connectors, debugs distributed integrations, and configures cloud and local clusters. The role drives customer adoption, documents deployment best practices, contributes production fixes and reusable patterns to the product, and trains customer teams for independent operation. It requires practical production AI experience, strong technical debugging skills, stakeholder communication, and comfort working without an established playbook.

Designs, develops, tests, and deploys Microsoft Power Platform and Dataverse solutions for clients. Builds Power Automate flows, C# plugins, JavaScript customizations, Power Apps, integrations, and data migrations. Defines requirements, manages project scope and deliverables, delegates work to offshore developers, and maintains customer relationships while delivering projects on time and within budget.

Lead the design, development, and operation of scalable backend and platform software for a Real World Evidence engine. Build secure data integrations and pipelines, improve data curation and quality, and support analytical workflows involving sensitive health data. Partner with product, clinical, research, and data teams to translate requirements into technical strategy. Lead architecture and code reviews, evaluate technologies, mentor engineers, and contribute to hiring and engineering best practices.

Lead strategy, architecture, and delivery of an Adobe-centered martech platform. Build and manage the platform team, oversee Adobe implementation, integrations, governance, vendor relationships, compliance, and drive adoption and personalization at scale.

Design, develop, test, deploy, and support full-stack enterprise applications for legal operations, matter management, document management, compliance, and business automation. Build React frontends, Java and Spring Boot microservices, APIs, integrations, event-driven solutions, and cloud-native deployments. Work with databases, Docker, Kubernetes, Azure, AWS, CI/CD, monitoring, security, and production support while collaborating with legal, compliance, product, architecture, and engineering teams in an Agile environment.

Own and evolve Swyfft’s partner-facing insurance API, including resource design, versioning, backward compatibility, authentication, rate limiting, error handling, metrics, documentation, and contract testing. Build production C# code, maintain the translation layer between public APIs and internal systems, support partner integrations, and collaborate with QA and product. The role requires substantial public API experience, strong API security and multi-tenancy knowledge, and fluency in C#, ASP.NET Core, SQL Server, and Azure.

Design, develop, configure, test, integrate, document, and sustain MuleSoft API and integration capabilities. Build reusable API-led services, DataWeave transformations, secure connectivity, runtime policies, and CI/CD automation. Translate stakeholder and government requirements into maintainable solutions, troubleshoot complex platform and integration issues, support architecture and releases, and collaborate with cybersecurity, QA, infrastructure, operations, and business teams. Maintain technical documentation, test evidence, operational runbooks, and platform governance practices.

Build and launch AI agents for credit unions by developing banking and loan-system integrations, authoring agent behavior, running evaluations and live tests, managing go-lives, and supporting early production. Own technical implementation outcomes, collaborate directly with customers, travel approximately 20%, and contribute reusable capabilities and implementation playbooks to the Agents Platform.